Mobile App Analytics is a systematic method for collecting, analyzing, and interpreting behavioral and performance data from mobile applications to optimize user experience, enhance app functionality, and inform strategic decision-making in mobile app development and management.
159
Publications
10.8K
Citations
580
Authors
240
Institutions
Publications per year
2017–2026
88
Publications
159
Hossein Falaki, Ratul Mahajan, Srikanth Kandula et al. · 2010 · 842 citations
AR-miner: mining informative reviews for developers from mobile app marketplace
Ning Chen, Jialiu Lin, Steven C. H. Hoi et al. · 2014 · 514 citations · Full text
Bin Fu, Jialiu Lin, Lei Li et al. · 2013 · 374 citations
1–5 of 159
Authors
580
- LL
6
h-index
- AE
6
h-index
- JH
5
h-index
- JL
5
h-index
- TF
4
h-index
1–5 of 580
Institutions
240
Queen's University
Kingston, Canada
8 h-index
15 publications
894 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
19 publications
4.3K citations
Monash University
Melbourne, Australia
6 h-index
10 publications
402 citations
Pennsylvania State University
State College, United States
6 h-index
9 publications
313 citations
Peking University
Beijing, China
6 h-index
12 publications
431 citations
Rochester Institute of Technology
Rochester, United States
5 h-index
11 publications
523 citations
Tsinghua University
Beijing, China
5 h-index
13 publications
909 citations
University of Michigan
Ann Arbor, United States
4 h-index
9 publications
512 citations
1–8 of 240
Venues
- JMIR mhealth and uhealth
8 publications · 519 citations
8
h-index
- arXiv (Cornell University)
Repository · 5 publications · 209 citations
5
h-index
- IEEE Software
3 publications · 129 citations
3
h-index
- Journal of Business Research
JBR · 3 publications · 122 citations
3
h-index
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
IMWUT · 3 publications · 134 citations
3
h-index
1–5